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    <br/>
    <br/>第十三章_DNA_数术推导与RNA_X_THF_DD元基芯片与肽逻辑
    <br/> 作者: 罗瑶光, Author:Yaoguang.Luo<br/>
    <br/>
    <br/>
    <br/>全嘌呤的推导

    <br/>
    <br/>今天开始写 RNA 芯片与肽逻辑 001, 准备抛除一切杂念.
    <br/>
    <br/>首先把昨天的 补码元基逐步简化的归纳 纸页笔记进行 电脑保存.
    <br/>
    <br/>花了 2 年时间写完第三次修订版本的 DNA 元基催化与肽计算 一书, 我已经有一定的经验如下
    <br/>
    <br/>1 肽展公式
    <br/>
    <br/>S= I, S= Q, C= D,I= !D, D= !I, U= !Q, Q= !U I= ++D, U= ++I, Q=
    ++U, DD= ++Q
    <br/>
    <br/>V= U+ Q, E= I+ U, C= I+ D, S= I+ Q, A= V+ S, O= E+ S, P= E+ C, M=
    C+ S, E= D+ U ,
    <br/>
    <br/>D= DD, U= E, I= U, E= I+ E, P= P+ D, C= U+ D+ D ,
    <br/>
    <br/>2 十六元基
    <br/>
    <br/>AOPM TXH VECS IDUQ DD

    <br/>
    <br/>昨天基于这 1 和 2, 我分析了下 类嘌呤 和 类嘧啶的结构以及 类甾体结构, 得到一个结论
    <br/>
    <br/>关于 AOPMTX 的甾体弧结构, 首先我开始统计其变化种类, 得到如下归纳,
    <br/>
    <br/>如 第三次修订版本的 DNA 元基催化与肽计算的 第 638 页所示 AOPM-X INITON
    <br/>
    <br/>如果 NH2 为位置 1, O 为位置 2, NH2 对应的 H2N 为位置 3, O 对应的 NH2 为位置 4
    <br/>
    <br/>则 X 的标记为 N O N N, 用这种归纳法, 我把所有的类甾体可归纳为如下
    <br/>
    <br/>NN, NO, OO, NNN , NN-N , NNO , NN-O ,NON , NO-N , NOO , NO-O ,
    <br/>
    <br/>OON , OO-N , OOO ,OO-O , NNNN , NNNO , NNON , NNOO, NONN ,
    <br/>
    <br/>NONO , NOON , NOOO , ONNN , ONNO , ONON , ONOO , OONN , OONO ,
    <br/>
    <br/>OOON , OOOO ,

    <br/>
    <br/>然后我进行了对称的过滤, 把 OONO OOON, ONOO NOOO, NNON NNNO, ONNN NONN
    四组对称的过滤一半, 然后把第 3 和 4 位为 O 的无意义过滤掉得到如下标记集合
    <br/>
    <br/>NN, NO, OO, NNN , NN-N , NON , NO-N , OON , OO-N , NNNN , NONN ,
    OONN ,
    <br/>
    <br/>再过滤掉对称的 NNN NN-N, 得到如下标记
    <br/>
    <br/>NN, NO, OO, NNN , NON , NO N , OON , OO N , NNNN , NONN , OONN ,
    <br/>
    <br/>于是我开始分组
    <br/>
    <br/>I, O-O; D, N-O ; U, N O ; Q, O-O ; V, N-N ; E, O; C, O-N ; S, N ;
    H, O-O ;
    <br/>
    <br/>P, OON ; A, NNN ; O, NO ;？, OO ;？, NN ; M, NO N; .T, NON ;？, OONN
    ; X, ONNN ;？, NNNN;.
    <br/>
    <br/>于是思路便清晰了, DD 补码的结构如 NnOo, 其关联的元基仅有 H, O O, 补码的逐步碱化可以转化为
    V, N-N ->
    <br/>
    <br/>A, NNN -> ?, NNNN 我得到一个答案这四个 OONN, NNNN, OO, NN 属于 RNA 的计算过程元基产物.
    下一步谜题便揭开了帷幕. 上面是 20210905 的笔记, 图片已经开源. 今天要做的准备开始笔记研发.
    <br/>
    <br/>在得知 DD 补码的结构如 NnOo, 我开始更进研究. 首先, 我得到一些价值信息, 如 DD
    补码在持续的碱化能得到 DD->
    VVS -> A 的元基过程. 因为酸的 H, O O 不稳定无意义, 我先展开 DD 的可探测的类型推导.
    于是我得到下面 5 中 模型归纳
    离子肽 对.
    <br/>
    <br/>1 D-D 嘧啶对.
    <br/>
    <br/>2 氨基黄嘌呤-氨基黄嘌呤 嘌呤对.
    <br/>
    <br/>3 氨基黄嘌呤-D 碱基对 分子肽.
    <br/>
    <br/>4 氨基黄嘌呤-D 分子.
    <br/>
    <br/>5 氨基黄嘌呤-氨基黄嘌呤 类似甾体分子.

    <br/>
    <br/>我推测这个 4 和 5 是一种不稳定的 RNA 中间过程 元基.
    <br/>
    <br/>于是我根据这 5 种模型开始探索能模拟补码, 二次补码的有效结构.
    <br/>
    <br/>首先我用 D-D 嘧啶对做计算
    <br/>
    <br/>常见的弱碱种类有 HCO3-, O-, CH3-, NH2-
    <br/>
    <br/>补码的甲基化有效果, 可是反码的实现就有问题.
    <br/>
    <br/>常见的弱酸种类有 Na+, K+, H+, NO2+, 我得到一个信息: 一些微量金属元素离子参与了酸化反应.
    <br/>
    <br/>显然离子对 可以参与 RNA 计算过程, 但不是有效的表达补码计算的主要化合物. 于是我开始关注
    氨基黄嘌呤-氨基黄嘌呤
    类似甾体分子, 准备画图观测.

    <br/>
    <br/>今天下午在思考氨基黄嘌呤的执行补码过程, 我从两点开始行动
    <br/>
    <br/>1 酸碱变化
    <br/>
    <br/>2 肽展公式属性
    <br/>
    <br/>有了行动点, 我尝试找一种代号 来缩写这个嘌呤 首先我定义为氨黄, DNA 元基编码与催化计算已经有了
    H 的 HE 和 HC
    效用. 于是我开始观测氨黄, 氨黄的效用 能同理实现氨黄 V 和 氨黄 S, 既有感知 有又腺,
    静态的语义表达, 我一开始定义为接触.
    Touch 又具备 H 的执行和控制语义表达, 如酮基, 似乎很全面, 我改为全嘌呤. Full 于是我定义氨基黄嘌呤
    为 RNA -F
    元基. 全嘌呤, 一开始我定义为补嘌呤, 但是不好听, 还是定义全嘌呤 F 元基.
    <br/>
    <br/>因为 F 元基在不同的环境能参与所有嘌呤的替代反应, 我推断其必定是 RNA 的核心计算元基.
    通过 DNA
    元基编码与催化计算的第 639 页, 可以发现 RNA F 元基能取代 DNA 的 E 元基 做补码计算
    的碱基对表达锁存计算信号.
    <br/>
    <br/>于是我得到 2 个论点
    <br/>
    <br/>1 氨基黄嘌呤碱基对锁存计算信号.
    <br/>
    <br/>F, DU = FD, FU
    <br/>
    <br/>2 氨基黄嘌呤类的甾体分子 参与补码计算.
    <br/>
    <br/>稍后准备开始论证.
    <br/>
    <br/>昨晚搜了下百度, 氨基黄嘌呤有很多名称, 如 2 羟基腺嘌呤, 酮基腺嘌呤, 6 氨基黄嘌呤,
    我取名为全嘌呤.

    <br/>
    <br/>Derivation of Full Initon, F-TXHF.
    <br/>
    <br/>Before the author had a derivation of RNA logics and PDN digits.
    He had concluded the PDE formulas as below:
    <br/>
    <br/>S= I, S= Q, C= D, I= !D, D= !I, U= !Q, Q= !U, I= ++D, U= ++I, Q=
    ++U, DD= ++Q, V= U+ Q, E= I+ U, C= I+ D, S= I+ Q, A= V+ S, O= E+ S, P=
    E+ C, M= C+ S, E= D+ U,D= DD, U= E, I= U, E= I+ E, P= P+ D, C= U+ D+ D,
    and sixteen Initons of 'AOPM TXH VECS IDUQ DD'.
    <br/>
    <br/>According to the above, the author did an analysis of pyrimidine
    class, purine class, and steroid class, then he considered a
    steroid-arc structures of AOPMTX and Its features. For example, AOPM-X
    Initon, he named four position features of NH2 as position 1; O as
    position 2; N2H which was symmetrical with NH2, N2H as postion 3; and
    NH2 which was symmetrical with O, NH2 as postion 4. Then proved a below
    list of steroid class.
    <br/>
    <br/>NN, NO, OO, NNN, NN N, NNO, NN-O, NON, NO-N, NOO, NO-O, OON,
    OO-N, OOO, OO-O, NNNN, NNNO, NNON, NNOO, NONN, NONO, NOON, NOOO, ONNN,
    ONNO, ONON, ONOO, OONN, OONO, OOON, OOOO.

    <br/>
    <br/>After a symmertrically filterd.
    <br/>
    <br/>NN, NO, OO, NNN, NON, NO-N, OON, OO-N, NNNN, NONN, OONN.
    <br/>
    <br/>Then did an arrangement.
    <br/>
    <br/>I, O-O; D, N-O; U, N-O; Q, O-O; V, N-N; E, O; C, O-N; S, N; H,
    O-O; P, OON; A, NNN; O, NO; ？, OO ;？, NN; M, NO-N; T, NON; ？, OONN; X,
    ONNN; ？, NNNN;.
    <br/>
    <br/>The author absolutely found a complementary structure of DD was
    NnOo, and Its associated Initons of H, O-O. And Its alkalic procedures
    could be V, N-N -> A, NNN -> ?, NNNN. Finally, he proved four
    structures of OONN, NNNN, OO and NN, which for RNA IC to use.

    <br/>
    <br/>After a structure of DD was NnOo, he continued a development with
    a valuable informations, DD And Its alkalic procedures could be DD->
    VVS -> A, because the unstable of H, O-O, he definitely concluded five
    structures as blew.
    <br/>
    <br/>1 D-D pyrimidine pairs.
    <br/>
    <br/>2 Amine Xanthine-Amine Xanthine Pairs.
    <br/>
    <br/>
    <br/>
    <br/>3 Amine Xanthine-D Pairs.
    <br/>
    <br/>4 Amine Xanthine-D Molecule, Pyrimidine[1,2-a]PyrimidineMidazole.
    <br/>
    <br/>5 Amine Xanthine-Amine Xanthine Molecule, Steroid,
    PyrimidineMidazolo[1,2-a]PyrimidineMidazole.
    <br/>
    <br/>He found that 4 and 5 were unstable middle ware of RNA Initons,
    and explored Its complement and 2's complement by a digital logic way
    of distinct to bio-chemical way. The author distinguished that weak
    alkalic class of HCO3-, O-, CH3- and NH2-, to a weak acid class of Na+,
    K+, H+ and NO2+, he could prove that a few metal elements, could join
    an acid effect. Absolutely the ion-pairs could join RNA procedures. But
    was not a complementary structure here. Then he began to make an
    attention for Amine Xanthine-Amine Xanthine Molecule, Steroid,
    PyrimidineMidazolo[1,2-a]PyrimidineMidazole, and did a graph of Its
    structure. He tried to make a name for it. Firstly, he named It as AX
    Initon, Amine-Xanthine pairs Molecule. Compared to H Initon, HE and HC,
    AX and Its PDN Extension could be V and S, so the author named It as
    Touch Initon. But was duplicated to T trigger Initon, and the 'Touch'
    Initon also had a ketonic-group where similar to H Initon. It seems
    more widely than other purine Initons, finally he announced It as F-
    Full initon. Because it could join both procedures of DNA and RNA.
    According to the page of 639, we could find F might instead E, to do
    the complementary computing. So, it seems the signal lock state
    formula, was {F, DU} = FD, FU. Base-pair. The author did a search by
    Baidu, found a name of Amine-Xanthine, a F Initon-Full, also could be
    named as 2-hydroxyadenine, keto-adenine, 6-amino-xanthine.
    <br/>
    <br/>The author YaoguangLuo 稍后优化语法.

    <br/>
    <br/>今天开始分析 全嘌呤碱基对 和 全嘌呤类甾体分子的 电势差, 更好的确定 高电位和低电位,
    实现 2 进制的 1 和 0.
    <br/>
    <br/>同时观测催化反应的 逻辑表达方式. 探索其触发器和锁存器的构建模式. 开始分析电势差,
    于是我设计了四种比较直白的可观测模式
    <br/>
    <br/>1 {D, D} 嘧啶元基对
    <br/>
    <br/>2 {F, DU} 碱基元基对
    <br/>
    <br/>3 {F, F} 嘌呤元基对
    <br/>
    <br/>4 {FF} 类甾体分子元基

    <br/>
    <br/>通过观测可表观理解, 可以得知 1 2 和 4 是相对比较稳定的结构. 3 因为分子大, 而离子键
    相对 1 和 2 的引力要
    <br/>
    <br/>弱. 于是我得到一些结论
    <br/>
    <br/>1 ｛F, F｝ 组合 相对其他活性活泼.
    <br/>
    <br/>2 {FF} 类甾体分子元基 的离子组合 繁多, 补码吸附逻辑复杂.
    <br/>
    <br/>3 通过把{FF} 类甾体分子元基的 吸附面 定义为 甲乙丙丁戊己 6 个面, 发现类似一个马口蹄铁的磁石形状,
    戊己
    <br/>
    <br/>靠近, 吸附力强度高.
    <br/>
    <br/>甲乙丙丁散开, 吸附力弱, 这里产生电势差倾斜, 可以有效的生成 高电位和低电位的表达方式.

    <img class="banner_img" style="width: 100%" src="../images/5_7108/13/13_16.jpg"
         alt="浏阳德塔软件开发有限公司,罗瑶光"/>

    <br/>
    <br/>可观测类型如下
    <br/>
    <br/>甲｛ON, ON｝ ;乙｛ON｝ ;丙｛ON｝ ;丁｛ON, ON｝ ;戊｛ON｝ ;己｛ON｝ ;

    <br/>
    <br/>于是我 开始分开思考 马蹄的可吸附模式 和离子组合模式. 今天是非常有意义的一天, 我论证了
    rna 芯片的计算实质: RNA
    小分子肽团 的多种电磁频率 组合 方式 表达 驱动
    <br/>
    <br/>计算信号.
    <br/>
    <br/>根据昨天的 FF 甾体 进行结构观测, 和马口蹄铁 甾体 的 电磁吸附补码 推导. 我设计了 8
    个不同的甾体组合
    <br/>
    <br/>根据 设计的甲乙丙丁戊己 6 个吸附面 我可以分析成
    <br/>
    <br/>1 类甾体-嘧啶 补码 吸附
    <br/>
    <br/>2 类甾体-嘌呤 补码 吸附
    <br/>
    <br/>3 双类 甾体甲 补码吸附
    <br/>
    <br/>4 双类 甾体甲
    <br/>
    <br/>补码吸附 rotation
    <br/>
    <br/>5 双类 甾体乙丙 背 补码吸附
    <br/>
    <br/>6 双类 甾体丙 补码吸附

    <br/>
    <br/>7 双类 甾体戊己 O 型吸附
    <br/>
    <br/>8 双类 甾体丙 对称吸附
    <img class="banner_img" style="width: 100%" src="../images/5_7108/13/13_17.jpg"
         alt="浏阳德塔软件开发有限公司,罗瑶光"/>


    <br/>
    <br/>我得到一个结论 DNA 是函数的预先语义表达的函数信号锁存, RNA 的计算模式是神经网络拓扑模式,
    不是晶振指令周期的驱动,
    所以RNA 的长度和 结构不规则决定了电势和固有电磁频率的种类. 这些种类的组合驱动生命应激表达的行为.
    这 8 种结构中, 1 2 3 4
    6 具备了链式拉长 来 改变固有频率. 另外 通过对｛F, DU｝｛F, IQ｝ 两种全嘌呤碱基对的电势和离子活性观测,
    发现 活性 ｛F,
    DU｝ 小于｛F, IQ｝; 稳定性 ｛F, DU｝ 大于｛F, IQ｝.
    <br/><img class="banner_img" style="width: 100%" src="../images/5_7108/13/13_18.jpg"
              alt="浏阳德塔软件开发有限公司,罗瑶光"/>

    <br/>I may get a conclusion that the DNA could be a flip-flops chain,
    where pre-locks the speech of signal function. The computing mode of
    RNA is a tupe mode of nero-network. mean not a command mode of
    cristal-driving. These modes of RNA build all kinds of actions by tupe
    combinations. For the listed eight structures, 1,2,3,4,6 of them could
    build an extension link to change the stable frequency. According to
    the observation of two types of base-pair: {F, DU}, {F, IQ}, I may find
    a Biologially active where {F, DU｝ is smaller then {F, IQ｝.


    <br/>
    <br/>仍有一个问题困扰着我, U Q 的 甲基的语义意思不是很明确. RNA 的吸附种类结构决定了电离电磁频率,
    这些频率组合方式系统完成不同的功能和应激表达. rna 计算是一种神经网络的电磁频率组合综合应激表达计算,
    与市面的常规电脑芯片的晶振指令周期计算完全不同.
    <br/>
    <br/>Still meet a question here, to ensure the definition of CH3 in
    {UQ}. The author regards the actionable types of RNA frequency, were
    based on tupe mode of nero-network, the computing mode of RNA is
    totally different with Desktop computer. Means the tupe combinations of
    frequency, could build a lot of stressed actions. Independent of the
    Cristal-shaking. 逻辑如下

    <img class="banner_img" style="width: 100%" src="../images/5_7108/13/13_20.jpg"
         alt="浏阳德塔软件开发有限公司,罗瑶光"/>
    <img class="banner_img" style="width: 100%" src="../images/5_7108/13/13_19.jpg"
         alt="浏阳德塔软件开发有限公司,罗瑶光"/>

    <br/>
    <br/>我得到一些实质结论: DNA 的螺旋结构 只是一个函数的存储 和函数将要表达前的预先时序排列的信号描述.
    一旦进行了 RNA
    驱动计算, 计算过程中就无意义 RNA 的表达不稳定, 因为电离不稳定, 环境不稳定, 很多因素不稳定,
    所以 RNA
    的计算结果取值一定是一种神经元基网络 加概率论打分的计算过程.
    <br/>
    <br/>The author did a conclusion that the spiral link with DNA was
    used for functions storing, those informational functions executed a
    DNA-encoding. Once the link performs the RNA computing, the long link
    of DNA will separate the long link copy of RNA into a lot of shorter
    pieces of RNA. Due to the immutable environments, speeches,
    chemi-ionizations and reactions. The author considered the RNA
    computing was a combination of nero-networking and probable-scoring.
    <br/>
    <br/>The author YaoguangLuo 稍后优化语法.
    <br/>
    <br/>神经元基网络见 DNA 元基催化与肽计算 039009 版本的第 695 页, 罗瑶光先生的思想很简单,
    客观一切可推导,
    主观一切可描述的普遍存在的价值取向. 这种思想可以和任何思维和逻辑观念耦合.
    非常方便罗瑶光先生的研发导向. 举个例子 昨天设计了 RNA
    小分子肽团 的多种电磁频率 组合 方式 表达 驱动计算信号.
    <br/>
    <br/>按照客观一切可以推导的思维, 我开始设计推导逻辑如下
    <br/>
    <br/>1 首先我已经掌握了数字逻辑结构的 补码计算 如下 4 个例子 1-3, 3-1
    <br/>
    <br/>1-3 补码逻辑
    <br/>
    <br/>00000001 1
    <br/>
    <br/>00000011 -3
    <br/>
    <br/>00000001 1
    <br/>
    <br/>11111100 +3!
    <br/>
    <br/>00000001 +1 补码
    <br/>
    <br/>11111110 0 carry 准备 2 次补码
    <br/>
    <br/>00000001 !
    <br/>
    <br/>00000001 +1 补码
    <br/>
    <br/>00000010
    <br/>
    <br/>= -2

    <br/>
    <br/>3-1 补码逻辑
    <br/>
    <br/>00000011 3
    <br/>
    <br/>00000001 -1
    <br/>
    <br/>00000011 3
    <br/>
    <br/>11111110 +1!
    <br/>
    <br/>00000001 +1 补码
    <br/>
    <br/>00000010 1 carry 不准备 2 次补码
    <br/>
    <br/>= 2

    <br/>


</div>
</body>